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Margalit Glasgow

The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication

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May 19, 2024
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SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem

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Oct 02, 2023
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Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time

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Jun 28, 2023
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Lower Bounds for $γ$-Regret via the Decision-Estimation Coefficient

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Mar 06, 2023
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Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning

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Dec 16, 2022
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Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence

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Jun 16, 2022
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Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective

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Nov 05, 2021
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Asynchronous Distributed Optimization with Randomized Delays

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Oct 02, 2020
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Approximate Gradient Coding with Optimal Decoding

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Jun 17, 2020
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